期刊文献+

Spectrum efficiency sub-carrier and energy efficiency power allocation for downlink multi-user CoMP in multi-cell system

Spectrum efficiency sub-carrier and energy efficiency power allocation for downlink multi-user CoMP in multi-cell system
原文传递
导出
摘要 Coordinated multi-point transmission/reception (CoMP) was proposed currently as an effective technology to improve cell-edge throughput in next-generation wireless systems. Most of the existing work discussed clustering methods mostly to maximize the edge user throughput while neglecting the problem of energy efficiency, such as those algorithm clustering base stations (BSs) of better channel condition and BSs of worse channel condition together. In addition, BSs usually increase the transmit power to achieve higher throughput without any considering of interference caused to other users, that may result in energy waste. The authors focus on the throughput maximizing problem while fully considering energy saving problem in CoMP systems. A coefficient is defined to describe the fitness of clusters. Then a sub-carrier allocation algorithm with clustering method is put forward for CoMP downlink, which can save the transmit power of BS and increase the throughput. Furthermore a power allocation scheme is proposed based on non-cooperation game; in which the transmit power is decreased by BSs generally to reach the Nash equation (NE). Simulation shows that the proposed sub-carrier allocation scheme and power allocation algorithm are better than the existing ones on users' throughput while consumes much less energy. Coordinated multi-point transmission/reception (CoMP) was proposed currently as an effective technology to improve cell-edge throughput in next-generation wireless systems. Most of the existing work discussed clustering methods mostly to maximize the edge user throughput while neglecting the problem of energy efficiency, such as those algorithm clustering base stations (BSs) of better channel condition and BSs of worse channel condition together. In addition, BSs usually increase the transmit power to achieve higher throughput without any considering of interference caused to other users, that may result in energy waste. The authors focus on the throughput maximizing problem while fully considering energy saving problem in CoMP systems. A coefficient is defined to describe the fitness of clusters. Then a sub-carrier allocation algorithm with clustering method is put forward for CoMP downlink, which can save the transmit power of BS and increase the throughput. Furthermore a power allocation scheme is proposed based on non-cooperation game; in which the transmit power is decreased by BSs generally to reach the Nash equation (NE). Simulation shows that the proposed sub-carrier allocation scheme and power allocation algorithm are better than the existing ones on users' throughput while consumes much less energy.
出处 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2014年第3期29-34,共6页 中国邮电高校学报(英文版)
基金 supported by the National Hi-Tech Research and Development Program of China(2012AA01A508)
关键词 COMP energy saving game theory power allocation sub-carrier allocation CoMP, energy saving, game theory, power allocation, sub-carrier allocation
  • 相关文献

参考文献9

  • 1Meurer M, Baier P, Weber T, et al. Joint transmission: advantageous downlink concept for CDMA mobile radio systems using time division duplexing. Electronics Letters, 2000, 36(10): 900 -901.
  • 2Baracca P, Boccardi F, Braun V. A dynamic joint clustering scheduling algorithm for downlink CoMP systems with limited CSI. Proceedings of the 9th International Symposium on Wireless Communication Systems (ISWCS' 12), Aug 28-31, 2012, Paris, France. Piscataway, NJ, USA: IEEE. 2012:830-834.
  • 3Fu S, Wu B, Ho P, et al. Interference coordination in CoMP with transmission scheduling and game theoretical power reallocation. Proceedings of the IEEE International Conference on Communications (ICC'12), Jan 10-15, 2012, Ottawa, Canada. Piscataway, NJ, USA: IEEE, 2012:4212-4217.
  • 4Al-Zahrani A Y, Yu F R. A game theory approach for inter-cell interference management in OFDM networks. Proceedings of the IEEE International Conference on Communications (ICC'I1), Jun 5-9, 2011, Kyoto,Japan. Piscataway, NJ, USA: IEEE, 2011: 5p.
  • 5Abdelaal R A, Ismail M H, Elsayed K. Resource allocation strategies based on the signal-to-leakage-plus-noise ratio in LTE-A CoMP systems. Proceedings of the Wireless Communications and Networking Conference (WCNC'12), Apr 1-4, 2012, Paris, France. Piscataway, NJ, USA: 1EEE, 2012:1590-1595.
  • 6Zhang X J, Sun Y, Chen X, et al. Distributed power allocation fbr coordinated multipoint transmissions in distributed antenna systems. IEEE Transactions on Wireless Communications, 2013,12(5): 2281-2291.
  • 7La Q D, Chew Y H, Soong B H. An interference minimization game theoretic subcarrier allocation algorithm for OFDMA-based distributed systems. Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM'09, Nov 30-Dec 4, 2009, Honolulu, HI, USA. Piscataway, NJ, USA: IEEE, 2009: 6p.
  • 8Wang J J, Xie X Z. Dynamic power allocation based on SLNR precoding for multi-user MIMO downlink. Proceedings of the 4th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM'08), Oct 12-14, 2008, Dalian, China. Piscataway, N J, USA: IEEE, 2008: 4p.
  • 9Fang W, Sun H, Yang L. Power allocation for maximizing sum capacity of rnultiuser MIMO downlink with transmit precoding based on SLNR. Proceedings of the 73rd Vehicular Technology Conference (VTC-Spring'l 1), May 15-18, 2011, Budapest, Hungary. Piscataway, NJ, USA: IEEE, 2011 : 5p.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部